Highlights from Software Architecture Superstream: Software Architecture and the Age of Agentic AI

Watch the entire Superstream: https://learning.oreilly.com/videos/software-architecture-superstream/0642572277543/0642572277543-video403958/?utm_medium=social&utm_source=youtube&utm_campaign=free+trial&utm_content=sa+superstream The evolution of agentic AI for software architecture is moving faster than most teams can track, and the people best equipped to cut through the noise are the architects and engineers who've spent careers designing systems. In this highlight reel from O'Reilly's Software Architecture Superstream, Neal Ford, Sam Newman, Pramod Sadalage, Mary Grygleski, and Cornelia Davis tackle the hard questions practitioners are facing right now. Sam Newman challenges the claim that AI is speeding up code reviews, arguing those reviews aren't better, just faster, because AI-generated commits are so massive that no one is actually reading them. Pramod Sadalage gets concrete about what happens when an agent lacks organizational context (it hallucinates your Q3 revenue figures because it has no idea your fiscal year starts in February, not January), then makes the case for semantic layers as the fix. Mary Grygleski maps out multi-agent architectures where specialized LLMs handle text, voice, and images, all stitched together through event-driven design. If you're designing systems where agentic AI plays a role, this is a conversation you don't want to miss. Cornelia Davis rounds things out by reframing the conversation entirely: Context engineering isn't just a fancier name for prompt engineering. It's the broader discipline of crafting and maintaining the rich context that makes agentic systems actually trustworthy. Follow O'Reilly on: LinkedIn: https://www.linkedin.com/company/oreilly/ Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia BlueSky: https://bsky.app/profile/oreilly.bsky.social